# OpenClaw Direct

> Use this tool when you need to streamline the management of your OpenClaw AI assistants through natural language interactions. It solves problems related to deployment, monitoring, and maintenance of AI models by providing a straightforward interface for inputs and outputs. Ideal for use cases where efficient and intuitive model management is crucial, allowing for seamless communication and control over AI assistants.

Canonical page: https://skillsregistry.net/skills/direct-openclaw-mcp  
JSON: https://api.skillsregistry.net/v1/skills/direct-openclaw-mcp

## Description

Deploy, monitor, and manage your OpenClaw AI assistants via natural language.

## Trust

- **Trust score (0–1):** 0.80
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-07-04

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/direct.openclaw%2Fmcp)

## Use it

MCP endpoint published by the skill: `https://openclaw.direct/mcp`

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "direct-openclaw-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/direct-openclaw-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/direct-openclaw-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt
